Ming Wei
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
-
- Plant Molecular Biology Research 2
- Rice Cultivation and Yield Improvement 2
- GABA and Rice Research 2
-
- Silk-based biomaterials and applications 2
- Co-authors
- Kathryn J. Steadman (1 shared paper)Siyu Cao (1 shared paper)Harendra S. Parekh (1 shared paper)Baoqing Zhu (1 shared paper)Shuxun Liu (1 shared paper)Yiqing Li (1 shared paper)Bolin Zhang (1 shared paper)Shaoyang Wang (1 shared paper)
- Journals
- Journal of Molecular Catalysis B Enzymatic (1 paper)Food Research International (1 paper)Food Reviews International (1 paper)Biotechnology Letters (1 paper)Starch - Stärke (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Ming Wei
27 papers receiving 366 citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 44
- Drug Discovery 1
- Food Science 95
- Biomaterials 66
- Biotechnology 36
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 74 | |
| 2 | 2018 | 48 | |
| 3 | 2013 | 44 | |
| 4 | 2012 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2013 | 28 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2010 | 13 | |
| 12 | 2006 | 8 | |
| 13 | Effects of Environmental Factors on The Population Genetic Structure in Alectoris magna | 2002 | 5 |
| 14 | 2021 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2016 | 3 | |
| 19 | Genetic structure of edge population in Przewalski^s rock partridge (Alectoris magna) | 2002 | 2 |
| 20 | Research On Fault Prediction Model Based On 5G Data Center | 2021 | 2 |
About Ming Wei
Ming Wei is a scholar working on Plant Science, Biomaterials, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 34 papers that have together received 373 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (3 papers), Plant Molecular Biology Research (2 papers), Food Quality and Safety Studies (2 papers), Rice Cultivation and Yield Improvement (2 papers), IoT and Edge/Fog Computing (2 papers), Silk-based biomaterials and applications (2 papers), Natural Language Processing Techniques (2 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Molecular Medicine (44 citations), Drug Discovery (1 citation), Food Science (95 citations), Biomaterials (66 citations) and Biotechnology (36 citations). Ming Wei has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Kathryn J. Steadman, Siyu Cao, Harendra S. Parekh, Baoqing Zhu, Shuxun Liu, Yiqing Li, Bolin Zhang, Shaoyang Wang, Haile Ma and Yuqing Duan. Their work appears in journals such as Journal of Molecular Catalysis B Enzymatic, Food Research International, Food Reviews International, Biotechnology Letters and Starch - Stärke.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.